CONCLUSION: Internet has become an indispensable tool in business and academic and personal use is increasing every day. For better or worse, Internet has infiltrated every aspect of our lives. Society has reached such a level that it is difficult rather impossible to live without the Internet. Moreover college students are the greater users of the Internet. Excessive use of the Internet leads the students to become addicts and affect the psychology of the students. In fact the present study concluded that greater use of the Internet leads to decrease the mentalhealth and adjustment level among college students. Hence Internet addiction and mentalhealth and Internet and adjustment are closely related. It can also be stated Internet plays a major role in the psychology of the students.
From table 1.4, it is clear that the mean and S.D. score of mentalhealth of arts stream college students having high mobile addiction are 108.48 & 13.10 respectively, whereas for commerce stream students having high mobile addiction, these are 117.00 & 8.86 respectively. The calculated ‘t’ value for 38 degree of freedom is 2.115 which is more than the table value (1.96) at 0.05 level of significance. It means that there is a significant difference between arts and commerce stream students having high
Many psychologists say that extreme and pathological Internet use reduced amount of student mentalhealth. Indeed, increased levels of work with Internet are associated with lower levels of mentalhealth. So this study will examine the relationship of mentalhealth with Internet addiction research is important. Learning new behaviors to students in an era of rapidly advancing information is growing daily and new communication tools, it is more efficient to enter global markets, so we must learn new behaviors, especially for young students how to use Internet and to use it properly motivated to achieve scientific and industrial development of country.
The present piece of research work is to study influence of Internet Addiction on the Mentalhealth of Adolescents students. 100 college students comprised the sample for the study. Tools used to measure the above mentioned variables were Internet Addiction Test by Dr. Kimberly Young (1998) to measure Internet Addiction. It consists of 20 items that measures mild, moderate and severe level of internet addiction. MentalHealth was measured by MentalHealth Inventory by Dr. Jagdish and Dr. A.K. Srivastava. The major findings of the present study are a negative correlation of -0.456 has been found between these two variables. A significance difference has been found between the mentalhealth of low and high internet user college students. A significance difference between the mentalhealth of high internet user girls and boys college students at the 0.05 level of significance. A significance significant difference between the mentalhealth of low internet user boys and girls college students at the 0.05 level of significance. furthermore it was found that no significant difference has been found between the mentalhealth of high internet user college students in rural and urban areas and no significant difference has been found between the mentalhealth of low internet user college students in rural and urban areas
Internet is becoming a widely accepted channel for information exchange and networking. It is experiencing tremendous growth and development in its size and numbers of users all over the world. The benefits of the internet have been widely researched and include keeping in touch with friends, making vacation plans, managing finances, assisting with educational needs etc. Despite the positive effects of internet, there is growing literature on the negative effects of its excessive use. The goal of this research is to examine the degree to which the students are addicted to Internet usage and the impact of Internet addiction (IA) on their academic success and mentalhealth. While most young people today are consistently exploring all phases of Internet connections, there is a plethora of debate as to what constitutes leisurely use of the Internet and where the border lies between such use and a non-transient addiction. Therefore, our first goal is to determine a concise measurement for IA that will distinguish levels and usage patterns that will stipulate when one should be considered addicted and when not. As a result, we developed a comprehensive set of questions to measure this degree of IA.
Cannabis may also serve as a useful therapeutic alter- native for individuals seeking addiction and mentalhealth symptom management [14-16]. A meta-analysis on the subjective effects of cannabis found that the most frequently reported effects were: improved mood (i.e., feeling good, happy, content), enhanced relaxation, increased insight into self and others, and improved per- ceptions. Of the reviewed close-ended studies, improved thinking, increased concentration, and increased relaxa- tion were frequently endorsed. Authors note individual variations due to substance tolerance, setting, and cogni- tive set . Surveys from Australia and Germany and exploratory studies in Canada and the United states find that 12 to 56 percent of medical cannabis users report use for relief of symptoms of depression, 6 percent for the relief of anxiety symptoms, and 6 percent for relief from other psychological disorders [3,18-20].
Alberta Health Services, the provincial health care provider in Alberta, prioritizes patient centered care and innovation . To that end, they created multiple Strategic Clinical Networks™ which are groups of clinicians, researchers, and patients who work together to bring innovation to front line practice and improve care. To fur- ther the influence of patient experience on research, the Addiction and MentalHealth Strategic Clinical Network™ (AMH SCN™) began engaging people with lived experience in the grant funding review process. Here we present the approach used by the AMH SCN to incorporate the values and perspectives of people with lived experience in the grant review process for a provincial funding opportunity. We have also incorporated their comments and feedback into this article, to present the experience from all perspectives.
Recalling fig.1 and the four areas of reference, there is a clear predominance of the functions under “government- exercise” and a generic or non-existent reference to clinical functions (including potential clinical functions). Signaling the value of the environment context, first as knowledge of the problem and related resources (primarily social networks), and then as the ability to perform bottom-up social planning; these are the elements which emerge most clearly within general health care, mentalhealth care and treatment for pathological addictions. Another interesting trend emerged from our pilot study in the analysis of responses to item quality. Participants were asked to weigh the areas highlighted by the first questionnaire (where 10 points were assigned as shown in fig.1), and it seems that priority must be given to the technical areas (specialized and targeted) held by sociologists within different levels of government-exercise organizations, mainly those in roles of staff direction. This does not however take away the significance of 20% of those who are activators /managers of network systems and communications, and therefore in direct contact with problems and practice.
Collaboration research agreements in each community are developed to articulate: a) the roles and responsibil- ities of the Community Advisory Circle, Participatory Action Research Team, and Local and Centre for Addic- tion and MentalHealth Research Teams; b) data collec- tion protocols and tools (e.g. survey, interview, and focus groups questions) that are submitted for approval to eth- ics review board; and c) how research data is managed and governed, following community-identified principles such as the OCAP® . OCAP® stands for the ownership, control, access, and possession of Indigenous research data – ensuring that First Nations communities have a right to determine how data are collected, used, shared, and accessed . Currently, the OCAP® or similar re- search principles are frequently and rightfully asserted by First Nations communities when planning research projects with outside groups and institutions. The agree- ments are signed by the designated community leader such as Band Chief or the Health Director and the Vice President of Research at the Centre for Addiction and MentalHealth. In the MWP, the Centre for Addiction
While Te Rau Hinengaro identified Māori rates of co-existing mentalhealth and addiction; and mentalhealth/physical health conditions, some services still operate in isolation of each other. In other words,the services not wanting to address the mentalhealth issues until the addiction issues have been treated. Dyall (1997) suggested that when developing mentalhealth plans, not to separate out Alcohol and Other Drugs from psychosis, given that the major reasons for Māori being admitted were for this specific reason. Mentalhealth plans need to go further than this, and also include a focus on physical health, spiritual, whānau inclusion. This requires that across the primary, community and specialist mentalhealth services, integrated services across the continuum of care are needed. Durie et al (1995) support this and talk about funding culturally effective services, including the integration for mentalhealth services that should not exist in isolation from other health services, along with the importance of intersectoral connections. This is not rocket science. Improving integration enhances tangata whaiora pathways through services, where there are minimal gaps in terms of service provision. This makes a service tangata whaiora centric and not service-provider centric. The difficulty is the ability to implement this approach.
The SRS evaluation was conducted using a descriptive design at the Centre for Addiction and MentalHealth (CAMH) in Toronto, Canada between November 2016 and May 2017. CAMH is Canada’s largest academic men- tal health and addictions hospital. CAMH achieved stage 7 on the Healthcare Information Management Systems Society (HIMSS) Electronic Medical Record Adoption Model in 2017 . The SRS evaluated in this paper facil- itates documentation by physicians within the CAMH electronic medical record (EMR).
In 2013, an Integrated Care Pathway (ICP) for concur- rent Major Depressive (MDD) and Alcohol Use (AUD) Disorders was developed at the Centre for Addiction and MentalHealth (CAMH), Toronto, Ontario, Canada . These two conditions were chosen as both of them are highly prevalent in Canada and worldwide [2, 3] and often are comorbid with each other, which significantly complicates their effective treatment . Both conditions are also associated with high socioeconomic burden [5, 6] and there is a lack of well-established evidence-based treatments for the treatment of concurrent MDD and AUD . The ICP was created in order to address this systemic shortcoming and after a short pilot stage showed promising clinical results [8, 9]. In 2015 the ICP received support through a joint funding program Adopting Research To Improve Care (ARTIC) in order to implement this ICP at multiple clinical sites across the province of Ontario. The 22-month project was named DA VINCI (Depression and Alcoholism: Valid- ation of an Integrated Care Initiative) and was com- pleted in January 2017 with the ICP fully implemented at nine clinical sites including CAMH.
the University of Toronto in Ontario. Dr Boyd is Associate Clinical Professor in the Department of Psychiatry and Behavioural Neurosciences at McMaster University in Hamilton, Ont. Dr Bradley is Associate Professor in the Department of Psychiatry at the University of Toronto. Dr Gemmill is Assistant Professor and Director of the Intellectual Developmental Disabilities Program in the Department of Family Medicine at Queen’s University. Dr Grier is Assistant Professor in the Department of Family Medicine at Queen’s University. Dr Griffiths is Associate Professor in the Department of Family Medicine at Queen’s University. Dr Hennen is Professor Emeritus at Dalhousie University in Halifax, NS, and the University of Western Ontario in London. Dr Loh is Assistant Professor in the Department of Paediatrics at the University of Toronto. Dr Lunsky directs the Azrieli Adult Neurodevelopmental Centre at the Centre for Addiction and MentalHealth and is Professor in the Department of Psychiatry at the University of Toronto. Dr Sue is Clinical Assistant Professor in the Discipline of Family Medicine at Memorial University of Newfoundland in St John’s.
different risk factors that have been associated to suicide in Iran such as marital status and illiteracy (5) social inequalities (6), inequality in addiction and mentalhealth (7) and male and lower educa- tional level (8). The disparities in incidence rate of suicide have been shown in Iran in previous, which indicated that different factors should be affected by suicide in different reign (6, 9). Research in source of inequality and enhance of knowledge can be reducing the inequalities in the coming decades. Effects of economic indexes such as Gini-coefficient on suicidal behavior have
CHCs in Ontario. The initiative was developed by the Office of Transformative Global Health (OTGH) at the Centre for Addiction and MentalHealth (CAMH) in Toronto, Ont. Its purpose was to enhance competencies at the individual, interprofessional, and organizational levels to effectively address the MH&A needs of patients at participating CHCs. A total of 184 health workers in 10 CHCs participated in the program, including physicians, nurses, social workers, and administrative staff. The program included 5 components: a needs assessment; training, including modules based on needs, research, and internationally recognized best practices, using an adult IPE model; mentoring and follow-up; development of organizational MH&A action plans for each CHC; and development of an advanced resource manual for col- laborative mentalhealth. The findings will be useful for clarifying key competencies in the provision of MH&A services in PHC settings and also for adapting and scal- ing up similar capacity-building initiatives in Canada and internationally.
In an Indian study carried out by Sharma et al on professional course students in the 15-25 years age group in Jabalpur city, in which the Young’s 20-item IAT scale and scoring pattern was used, out of the 391 students who participated in the study, 55% were male. 13 The mean age of the students was 19.02 (±1.450) years. Male students were more addicted to the internet than female students. The IAT scoring revealed 57.3% as normal users, 35.0% as mildly addicted to the internet, 7.4% as moderately addicted, and 0.3% as severely addicted. Internet addiction is associated with depression in students, as seen in present study. In study carried out by Dixit et al, nomophobia prevalence was 18.5%. 14 Similar results are found in studies carried out by Dixit et al, Takao, Bianchi and Phillips. 14-16 Thus there is strong need to create awareness regarding internet addiction and use of smart phones to protect mentalhealth of students.
The prevalence of internet addiction in our study is mild internet addiction among 30.69 % of study subjects, moderate addiction among 26.60% and severe among 0.26%. Surwase et al studied in Nanded, Maharashtra reported mild prevalence 31.36% which is similar to our study while moderate 34.49% which was higher than our results. 21 While Chaudhari et al found mild prevalence of 51.42%, and moderate prevalence 7.45%. 13 Our hypothesis is significant that those who are having internet addiction are two times at a risk of having poor mentalhealth (OR=2.28, p=0.01). There are very few studies conducted on assessing ill effects of internet addiction on mentalhealth. Alpaslan et al conducted study on Turkish medical students and found internet addiction was significantly associated with loneliness, alexithymia and probability of suicide (p<0.001). 22 Similarly Soumya also found significant relation (Chi square=4.649 and p=0.031). 1
Often the comorbidity of substance addiction and problem gambling can lead to dire financial circumstances (Stewart & Kushner, 2003). So too can the co-occurrence of mentalhealth, criminal justice involvement and housing problems. This can impact not just on the material wealth of families as money and housing may be put at risk or lost, but their overall wellbeing (social, health, status, security, employment and education). Common co-occurrences such as homelessness and increases in family violence may also be associated with physical and experiential loss for parents, children and spouses due to the gambling and addiction of their loved one (Darbyshire et al., 2001; Orford et al., 2005; Custer & Milt, 1985; Castellani, 2000).
Lower scores show better mentalhealth and higher scores indicate lower mentalhealth. It categorizes men- tal health into four levels including low/no disturbance, mild, moderate, and severe. It takes almost 8 minutes to examine the symptoms and state of mentalhealth in a person in his/her last month (one month before examina- tion) (Rostami et al. 2013; Hamid Babamiri & Dehghani 2012; Molina et al. 2006). Finally, the SWQ designed by Paloutzian and Ellison in 1982, measures spiritual well- being under two subscales of religious (10 items with odd numbers) and existential (10 items with even num- bers) wellbeing.
addiction treatment and recovery, the Substance Abuse and MentalHealth Services Administration’s (SAMHSA) Strengthening Treatment Access and Retention State Ini- tiative (STAR-SI) developed a technical assistance program for states interested in using telemedicine for addiction treatment. During 2013–14, the NIATx national program office at the University of Wisconsin-Madison delivered technical assistance focused on providing systems-level and organization change technical assistance to single state authorities (SSAs) and other payers who oversee dis- tribution of state and federal funding for substance abuse treatment programs. The program included five states and one county participant, selected through a competitive re- view of applicants’ plans for adopting telemedicine. The project served as a real-world laboratory for observing the telemedicine apps that generated the most interest among the participants and for identifying the facilitators and bar- riers affecting implementation of these apps.